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Xu Min
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2020 – today
- 2024
- [c18]Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li:
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations. ICML 2024 - [c17]Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang
, Xu Min, Yong He, Liang Zhang, Jun Zhou
Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR 2024: 1232-1241 - [c16]Shuhan Wang
Aligned Side Information Fusion Method for Sequential Recommendation. WWW (Companion Volume) 2024: 112-120 - [i5]Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li:
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations. CoRR abs/2404.15766 (2024) - 2023
- [c15]Xu Min
SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation. CIKM 2023: 4205-4209 - [c14]Bin Shen
DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction. CIKM 2023: 4279-4283 - [c13]Zhaoxin Huan
SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation. KDD 2023: 4175-4184 - [c12]Jun Hu, Xu Min, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou:
BCAD: An Interpretable Anomaly Transaction Detection System Based on Behavior Consistency. ECML/PKDD (6) 2023: 259-274 - [c11]Ang Li
Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System. SIGIR 2023: 2471-2475 - [i4]Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang:
AntM2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction. CoRR abs/2308.16437 (2023) - 2022
- [c10]Yuan Zhang, David Koepke, Bibo Hao, Jing Mei, Xu Min, Rachna Gupta, Rajashree Joshi, Fiona McNaughton, Zhan-Heng Chen
Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities. ICIC (1) 2022: 739-752 - [c9]Xu Min, Xiaolu Zhang, Jun Zhou, Changxun Fan, Junlin Yu:
TAMOR: Tier-Aware Multi-objective Recommendation for Ant Fortune Financial Marketing. ECML/PKDD (6) 2022: 603-606 - 2021
- [i3]Prithwish Chakraborty, James V. Codella, Piyush Madan, Ying Li, Hu Huang
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. CoRR abs/2104.04377 (2021) - 2020
- [c8]Zefang Tang, Lun Hu, Xu Min, Yuan Zhang, Jing Mei, Kenney Ng
Embracing Disease Progression with a Learning System for Real World Evidence Discovery. ICIC (2) 2020: 524-534 - [i2]Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li:
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning. CoRR abs/2007.12355 (2020)
2010 – 2019
- 2019
- [j3]Wanwen Zeng
EnDisease: a manually curated database for enhancer-disease associations. Database J. Biol. Databases Curation 2019: baz020 (2019) - 2018
- [i1]Xi Zhang, Dandi Chen, Yongjun Zhu, Chao Che, Chang Su, Sendong Zhao, Xu Min, Fei Wang:
The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations. CoRR abs/1806.09737 (2018) - 2017
- [j2]Xu Min, Wanwen Zeng
Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding. Bioinform. 33(14): i92-i101 (2017) - [j1]Xu Min, Wanwen Zeng
Predicting enhancers with deep convolutional neural networks. BMC Bioinform. 18(S-13): 35-46 (2017) - [c7]Yujuan Feng, Xu Min, Ning Chen, Hu Chen, Xiaolei Xie, Haibo Wang, Ting Chen:
Patient outcome prediction via convolutional neural networks based on multi-granularity medical concept embedding. BIBM 2017: 770-777 - 2016
- [c6]Xu Min, Ning Chen, Ting Chen, Rui Jiang
DeepEnhancer: Predicting enhancers by convolutional neural networks. BIBM 2016: 637-644 - 2015
- [c5]Wenqian Huang, Yiwei Mao, Xu Min, Jing Hu, Lianfeng Shen:
Analysis of SFR's impaction on delay time based DMMAC for VANETs. WCSP 2015: 1-5 - [c4]Xu Min, Ziyan Jia, Wenqian Huang, Jing Hu, Lianfeng Shen:
Research of path loss exponent and distance estimation based on Doppler effect and frequency diversity. WCSP 2015: 1-5 - 2014
- [c3]Xu Min, Yu Zhou, Shu Liu, Xiang Bai:
Real-time object tracking via optimal feature subspace. ICIP 2014: 421-425
2000 – 2009
- 2008
- [c2]Xu Min, Wang Yu, Yi-qun Cui, Wen-yu Li, Fang Gu:
Implementation of Simulation Platform for Craniofacial Surgery Based on COM. ISCSCT (1) 2008: 652-657 - 2004
- [c1]Wu Wei, Liu Xin, Xu Min, Peng Jinrong
A Hybrid SOM-SVM Method for Analyzing Zebra Fish Gene Expression. ICPR (2) 2004: 323-326
Coauthor Index
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last updated on 2024-10-21 20:29 CEST by the dblp team
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